Alternatives to blind-spot networks include [1]}, which trains a neural network to map pixels to their neighbors and Recorrupted-to-Recorrupted [2]}, which attempts to generate noisy image pairs out of a single image. In [3]} they present an interesting approach based on unfolding an image into its overlapping patches and associating them, although there is no publicly released code. In [4]} they attempt to build a method for creating noisy image pairs by subtracting the noisy image from a denoised pseudo ground-truth, randomly multiplying each element by \( \pm 1\)  and then adding it back to the image. There are also adversarial GAN-like approaches such as in [5]} and [6]}. And in [7]} they present a VAE based approach.
